Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "120" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 45 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 43 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459860 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.858581 | 25.984562 | -0.861916 | 34.527223 | 1.126613 | 21.237491 | 0.186851 | 8.569822 | 0.7250 | 0.0337 | 0.6186 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 2.200707 | 22.685553 | -0.239468 | 12.571825 | 1.344906 | 2.737837 | -0.453270 | 6.139815 | 0.7305 | 0.0367 | 0.6319 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.453233 | 24.235288 | -0.338567 | 12.954526 | 1.694763 | 2.924284 | 1.367030 | 10.540535 | 0.7384 | 0.0351 | 0.6316 | 2.796023 | 1.131404 |
| 2459857 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.544083 | 2.613894 | 3.641142 | 6.671061 | 5.556063 | 8.278691 | 15.951849 | 30.883295 | 0.0249 | 0.0206 | 0.0032 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.837299 | 35.037827 | -0.807688 | 32.238549 | 0.466456 | 11.968010 | 1.970887 | 14.093442 | 0.7286 | 0.0370 | 0.6222 | 3.034227 | 1.157607 |
| 2459855 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.361623 | 36.382719 | -1.032733 | 33.808955 | 0.162277 | 4.221401 | 1.839757 | 6.452136 | 0.7121 | 0.0361 | 0.5943 | 3.112652 | 1.147375 |
| 2459854 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.859309 | 35.451200 | 8.658702 | 26.028057 | 0.910513 | 4.275222 | 1.383542 | 11.520721 | 0.7010 | 0.0340 | 0.5822 | 2.711672 | 1.145731 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.158347 | 30.141997 | 11.225886 | 35.505668 | 0.703537 | 10.804758 | 6.628351 | 14.682194 | 0.7294 | 0.0345 | 0.6139 | 2.817219 | 1.146323 |
| 2459852 | RF_maintenance | 100.00% | 29.19% | 100.00% | 0.00% | 100.00% | 0.00% | 1.432051 | 23.643689 | 10.778482 | 37.597911 | 6.482700 | 19.861217 | 12.337463 | 16.717067 | 0.6096 | 0.0332 | 0.5115 | 3.868378 | 1.145071 |
| 2459851 | RF_maintenance | 100.00% | 0.00% | 91.84% | 0.00% | 100.00% | 0.00% | 2.929848 | 33.783654 | 12.309468 | 39.410726 | 0.022107 | 42.447086 | 2.066267 | 29.028976 | 0.7491 | 0.0784 | 0.5874 | 3.830861 | 1.110369 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.610497 | 33.600059 | 10.785364 | 33.062864 | -0.089249 | 19.193283 | 3.945000 | 26.045921 | 0.7295 | 0.0403 | 0.5987 | 2.556387 | 1.142220 |
| 2459849 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.665195 | 34.638950 | -0.290433 | 65.058796 | 0.898057 | 12.711897 | 2.537085 | 17.574420 | 0.7518 | 0.0434 | 0.6136 | 4.122822 | 1.178232 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.120849 | 31.118193 | -0.113274 | 43.150238 | 0.518603 | 21.570070 | -0.360852 | 12.654890 | 0.7311 | 0.0413 | 0.6075 | 3.570273 | 1.166819 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.317263 | 34.276353 | 0.191086 | 40.713595 | 0.546709 | 27.743330 | -0.567006 | 7.251466 | 0.7410 | 0.0335 | 0.6171 | 7.583357 | 1.186168 |
| 2459846 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.538631 | 44.247154 | 0.364677 | 45.138528 | 3.730733 | 20.954896 | -0.332493 | 10.443445 | 0.8520 | 0.0364 | 0.7394 | 3.455541 | 1.222357 |
| 2459845 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459842 | RF_maintenance | 100.00% | 83.87% | 100.00% | 0.00% | 100.00% | 0.00% | 29.435640 | 22.759225 | -0.262603 | 11.103876 | 40.186987 | -0.441439 | 36.913308 | 3.068985 | 0.3500 | 0.0451 | 0.2768 | 2.652675 | 1.109598 |
| 2459841 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 20.274982 | 4.713872 | 7.075587 | 13.585180 | 6.663972 | 5.659218 | 9.153246 | 18.618132 | 0.0309 | 0.0269 | 0.0028 | nan | nan |
| 2459840 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 51.727958 | 39.919329 | 6.588999 | 5.657462 | 7.037733 | 6.136073 | 14.987178 | 16.302383 | 0.0244 | 0.0217 | 0.0013 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | 12.947267 | 9.735220 | 15.517913 | 13.767208 | 4.004719 | 3.876442 | 20.184279 | 22.171528 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 42.98% | 100.00% | 0.00% | 100.00% | 0.00% | 23.803677 | 33.302057 | 0.418508 | 27.203137 | 18.744276 | 30.110013 | 3.024803 | 4.789286 | 0.4144 | 0.0389 | 0.2962 | 3.049454 | 1.296279 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0367 | 0.0325 | 0.0017 | nan | nan |
| 2459835 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.776355 | 1.785120 | 0.352486 | 4.189826 | 76.008720 | -0.727505 | 203.982575 | 0.925816 | 0.0375 | 0.0337 | 0.0016 | nan | nan |
| 2459833 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.145651 | 1.289671 | 0.269826 | 7.787020 | 154.072428 | 3.080181 | 350.217007 | 22.284537 | 0.0274 | 0.0232 | 0.0033 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 5.38% | 100.00% | 0.00% | 100.00% | 0.00% | 26.538381 | 53.136457 | 0.098717 | 29.480536 | 10.153191 | 12.006507 | 0.988668 | 5.820736 | 0.4500 | 0.0446 | 0.3513 | 2.835472 | 1.199431 |
| 2459831 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.981247 | 9.864472 | 16.234326 | 14.717191 | 4.898563 | 3.993593 | 13.981863 | 14.811124 | 0.0249 | 0.0223 | 0.0016 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 25.800739 | 51.900371 | 0.570869 | 41.608882 | 27.294228 | 36.111757 | 1.722980 | 11.267577 | 0.4651 | 0.0432 | 0.3044 | 3.319420 | 1.193521 |
| 2459829 | RF_maintenance | 100.00% | 36.52% | 100.00% | 0.00% | 100.00% | 0.00% | 32.422213 | 55.887080 | 0.794248 | 34.252447 | 15.736303 | 32.119739 | 5.226570 | 16.978694 | 0.4276 | 0.0453 | 0.2896 | 6.741644 | 1.064753 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 21.201212 | 43.304027 | 1.222144 | 36.065146 | 25.771195 | 33.265424 | 6.010027 | 21.831351 | 0.4709 | 0.0469 | 0.3236 | 3.685797 | 1.247056 |
| 2459827 | RF_maintenance | 100.00% | 37.06% | 100.00% | 0.00% | 100.00% | 0.00% | 24.290310 | 42.425774 | 1.387650 | 41.852670 | 13.094137 | 26.133332 | -0.102420 | 3.375433 | 0.4280 | 0.0447 | 0.2621 | 3.728970 | 1.186754 |
| 2459826 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 20.248984 | 39.132412 | 1.391734 | 45.503788 | 35.098032 | 45.309927 | 4.116826 | 14.071655 | 0.4664 | 0.0474 | 0.3017 | 0.000000 | 0.000000 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 21.519388 | 41.618898 | 1.743283 | 36.488355 | 20.453051 | 25.679477 | -0.033556 | 1.242646 | 0.4932 | 0.0426 | 0.2747 | 4.488080 | 1.257699 |
| 2459824 | RF_maintenance | 100.00% | 37.07% | 100.00% | 0.00% | 100.00% | 0.00% | 22.792697 | 32.366856 | 1.311841 | 30.574881 | 8.809551 | 19.012207 | 0.526462 | 6.212847 | 0.4225 | 0.0428 | 0.2288 | 3.832803 | 1.211509 |
| 2459823 | RF_maintenance | 100.00% | 35.29% | 100.00% | 0.00% | 100.00% | 0.00% | 17.848101 | 33.306177 | 6.818738 | 53.203895 | 32.265394 | 36.650243 | 26.645274 | 38.594585 | 0.4366 | 0.0405 | 0.2441 | 5.833716 | 1.284018 |
| 2459822 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 24.508130 | 43.719113 | 4.105077 | 49.919016 | 21.838292 | 26.027940 | -0.557104 | -0.059166 | 0.4994 | 0.0455 | 0.3200 | 3.053217 | 1.204852 |
| 2459820 | RF_maintenance | 100.00% | 36.52% | 100.00% | 0.00% | 100.00% | 0.00% | 24.370610 | 42.107261 | 1.661500 | 41.513541 | 37.885751 | 69.394368 | 1.223053 | 11.091114 | 0.4406 | 0.0491 | 0.3060 | 3.123300 | 1.196534 |
| 2459817 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459816 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 19.853967 | 31.947468 | 2.607285 | 49.952623 | 36.177970 | 45.679090 | 2.568152 | 15.683161 | 0.5034 | 0.0496 | 0.3996 | 2.971837 | 1.173753 |
| 2459815 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 18.216808 | 31.134251 | 6.035245 | 53.161023 | 40.322042 | 48.805830 | 5.769161 | 18.083269 | 0.5220 | 0.0574 | 0.4137 | 2.835997 | 1.198748 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 34.527223 | 2.858581 | 25.984562 | -0.861916 | 34.527223 | 1.126613 | 21.237491 | 0.186851 | 8.569822 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 22.685553 | 2.200707 | 22.685553 | -0.239468 | 12.571825 | 1.344906 | 2.737837 | -0.453270 | 6.139815 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 24.235288 | 24.235288 | 2.453233 | 12.954526 | -0.338567 | 2.924284 | 1.694763 | 10.540535 | 1.367030 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Temporal Discontinuties | 30.883295 | 2.613894 | 14.544083 | 6.671061 | 3.641142 | 8.278691 | 5.556063 | 30.883295 | 15.951849 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 35.037827 | 3.837299 | 35.037827 | -0.807688 | 32.238549 | 0.466456 | 11.968010 | 1.970887 | 14.093442 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 36.382719 | 36.382719 | 4.361623 | 33.808955 | -1.032733 | 4.221401 | 0.162277 | 6.452136 | 1.839757 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 35.451200 | 35.451200 | 2.859309 | 26.028057 | 8.658702 | 4.275222 | 0.910513 | 11.520721 | 1.383542 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 35.505668 | 30.141997 | 2.158347 | 35.505668 | 11.225886 | 10.804758 | 0.703537 | 14.682194 | 6.628351 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 37.597911 | 1.432051 | 23.643689 | 10.778482 | 37.597911 | 6.482700 | 19.861217 | 12.337463 | 16.717067 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Temporal Variability | 42.447086 | 2.929848 | 33.783654 | 12.309468 | 39.410726 | 0.022107 | 42.447086 | 2.066267 | 29.028976 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 33.600059 | 2.610497 | 33.600059 | 10.785364 | 33.062864 | -0.089249 | 19.193283 | 3.945000 | 26.045921 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 65.058796 | 3.665195 | 34.638950 | -0.290433 | 65.058796 | 0.898057 | 12.711897 | 2.537085 | 17.574420 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 43.150238 | 31.118193 | 4.120849 | 43.150238 | -0.113274 | 21.570070 | 0.518603 | 12.654890 | -0.360852 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 40.713595 | 34.276353 | 4.317263 | 40.713595 | 0.191086 | 27.743330 | 0.546709 | 7.251466 | -0.567006 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 45.138528 | 3.538631 | 44.247154 | 0.364677 | 45.138528 | 3.730733 | 20.954896 | -0.332493 | 10.443445 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Temporal Variability | 40.186987 | 29.435640 | 22.759225 | -0.262603 | 11.103876 | 40.186987 | -0.441439 | 36.913308 | 3.068985 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Shape | 20.274982 | 20.274982 | 4.713872 | 7.075587 | 13.585180 | 6.663972 | 5.659218 | 9.153246 | 18.618132 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Shape | 51.727958 | 51.727958 | 39.919329 | 6.588999 | 5.657462 | 7.037733 | 6.136073 | 14.987178 | 16.302383 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Temporal Discontinuties | 22.171528 | 9.735220 | 12.947267 | 13.767208 | 15.517913 | 3.876442 | 4.004719 | 22.171528 | 20.184279 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 33.302057 | 33.302057 | 23.803677 | 27.203137 | 0.418508 | 30.110013 | 18.744276 | 4.789286 | 3.024803 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Temporal Discontinuties | 203.982575 | 1.785120 | -0.776355 | 4.189826 | 0.352486 | -0.727505 | 76.008720 | 0.925816 | 203.982575 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Temporal Discontinuties | 350.217007 | 1.289671 | 5.145651 | 7.787020 | 0.269826 | 3.080181 | 154.072428 | 22.284537 | 350.217007 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 53.136457 | 26.538381 | 53.136457 | 0.098717 | 29.480536 | 10.153191 | 12.006507 | 0.988668 | 5.820736 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Power | 16.234326 | 12.981247 | 9.864472 | 16.234326 | 14.717191 | 4.898563 | 3.993593 | 13.981863 | 14.811124 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 51.900371 | 25.800739 | 51.900371 | 0.570869 | 41.608882 | 27.294228 | 36.111757 | 1.722980 | 11.267577 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 55.887080 | 55.887080 | 32.422213 | 34.252447 | 0.794248 | 32.119739 | 15.736303 | 16.978694 | 5.226570 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 43.304027 | 43.304027 | 21.201212 | 36.065146 | 1.222144 | 33.265424 | 25.771195 | 21.831351 | 6.010027 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 42.425774 | 24.290310 | 42.425774 | 1.387650 | 41.852670 | 13.094137 | 26.133332 | -0.102420 | 3.375433 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 45.503788 | 39.132412 | 20.248984 | 45.503788 | 1.391734 | 45.309927 | 35.098032 | 14.071655 | 4.116826 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 41.618898 | 41.618898 | 21.519388 | 36.488355 | 1.743283 | 25.679477 | 20.453051 | 1.242646 | -0.033556 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | 32.366856 | 22.792697 | 32.366856 | 1.311841 | 30.574881 | 8.809551 | 19.012207 | 0.526462 | 6.212847 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 53.203895 | 33.306177 | 17.848101 | 53.203895 | 6.818738 | 36.650243 | 32.265394 | 38.594585 | 26.645274 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 49.919016 | 43.719113 | 24.508130 | 49.919016 | 4.105077 | 26.027940 | 21.838292 | -0.059166 | -0.557104 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Temporal Variability | 69.394368 | 24.370610 | 42.107261 | 1.661500 | 41.513541 | 37.885751 | 69.394368 | 1.223053 | 11.091114 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 49.952623 | 31.947468 | 19.853967 | 49.952623 | 2.607285 | 45.679090 | 36.177970 | 15.683161 | 2.568152 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Power | 53.161023 | 31.134251 | 18.216808 | 53.161023 | 6.035245 | 48.805830 | 40.322042 | 18.083269 | 5.769161 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 120 | N08 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |